Notice of RetractionStudy on the modeling and information enhancing technology applied to fault diagnosis of armored vehicle gearbox

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The authors set forth a modeling and fault information enhancing method based on fault diagnosis of armored gearbox. Based on introducing the necessary on fault diagnosis and prediction of the armored vehicles gearbox, the modeling and identification of armored vehicles gearbox is completed by using the forward householder real (FHR) algorithm. The concrete modeling process includes the test and pre-measured data, the model choice, model parameter estimation, the model fitness test and so on. On this basis, the paper proposes a transmission system fault diagnosis based on the fault information enhancement. The method utilizes time-domain averaging technique to complete the extraction of periodic signals, through signal interpolation processing, demodulation analysis and re-sampled time-domain average, to complete the shaft frequency signal and mesh-frequency signal extraction, to obtain axis frequency and mesh frequency signals by conducting demodulation analysis, re-sample and time-domain average. In the process of studying characteristics of fault signals, fault information enhancing technology is employed. The result is proved to be right and effective through the fault signal characteristics research methods proposed to enhance fault information, results show that the fault information and did not use enhancement compared to not only improve the signal to noise ratio, but also greatly improved the fault information.